At the microXchg conference in Berlin, a group of software development practitioners shared their latest learnings about the microservice architectural style. Topics discussed included functional service design, integrating DDD and REST, creating microservice-powered websites using transclusion, choosing a microservice platform, and the organisational and people impact of microservices.
At the microXchg microservices conference, held in Berlin, Adrian Cockcroft presented “Shrinking Microservices to Functions”. Key takeaways from the talk included: ‘serverless’ technologies enable rapidly developed functions-as-a-service (FaaS); and the biggest challenges for modern enterprise software development are connected with the people and process within an organisation.
MindMeld, a conversational AI company, has published The Conversational AI Playbook, a guide outlining the challenges and the steps to be made to create conversational applications.
What started out as an attempt to protect GitLab.com from spammers turned sour as engineer fatigue and a lack of backups took the site down for nearly 18 hours and the loss of six hours worth of production data.
Tracking "who did what" in a self-service public cloud can be challenging. With Google Cloud Audit Logging, Google captures log streams for seventeen services in Google Cloud Platform (GCP) .
Docker Inc. launched its answer to Amazon ECS into public beta at the end of last year: an AWS-compatible service for managing and orchestrating Docker containers. Now, Docker for AWS is generally available.
Amazon is the first cloud provider to support Windows Docker containers in their managed container platform - the AWS EC2 Container Service. The new beta service for Windows has several restrictions, but it paves the way to running multi-platform solutions across a single cluster of container hosts.
Intel open-sources BigDL, a distributed deep learning library that runs on Apache Spark. It leverages existing Spark clusters to run deep learning computations and simplifies the data loading from big datasets stored in Hadoop.
At the AWS re:Invent conference, Amazon launched Rekognition, a managed service for Image Recognition and Analysis, powered by Deep Learning. The capabilities that Rekognition provides include Object and Scene detection, Facial Analysis, Face Comparison and Facial Recognition. The service attempts to extract meaning from visual content for the 1.2 Trillion pictures captured annually.
Instacart is an online delivery service for groceries under one hour. Customers order the items on the website or using the mobile app, and a group of Instacart’s shoppers go to local stores, purchase the items and deliver them to the customer. InfoQ interviewed Mathieu Ripert, data scientist at Instacart, to find out how machine learning is leveraged to guarantee a better customer experience.
Amazon's Simple Queue Service (SQS) recently gained FIFO (first-in, first-out) queues, which are designed to "guarantee that messages are processed exactly once, in the order that they are sent, and without duplicates". AWS rolled out this new queue type in the US East (Ohio) and US West (Oregon) regions and "plans to make it available in many others in early 2017".
This past November, Microsoft launched, what it is calling, the Industry’s First Cloud Bot-as-a-Service platform. The Azure Bot Service is powered by the Microsoft Bot Framework and has a serverless compute back-end built on Azure Functions. Using the Bot service allows developers to build conversational applications that plug into many popular chat applications.
Enterprise cloud usage has been in the forefront of big players for the past few years. Amazon, IBM, Google and Microsoft are expanding their offerings to serve better the enterprise users and their needs. Google announced a set of machine learning based services focused on enterprise users.
Google has introduced Actions on Google which allow developers to build Google Assistant-based conversational apps, including integration with the Google Home device.
The CNCF have released version 1.5 of the Kubernetes container orchestration system. Core improvements focus on beta functionality associated with deployment and scaling of stateful applications, and making it possible to perform cluster operations without disrupting applications. Alpha support has also been added for Windows Server 2016 nodes and the scheduling of Windows Server Containers.